Dermatology Practices · AI Dev Team
Mohs Pre-Auths, Photo Intake, and Path Result Recall for Your Dermatology Practice
Dermatology practices run on workflows nobody else has: Mohs cases that need PPO and HMO pre-auth before the patient is on the table, intake that should already include the patient's skin photos, and biopsy results that arrive from the lab on the lab's schedule — not yours. Most generic automation tools choke on this. Asaasin's AI Dev Team embeds with your stack — ModMed, Nextech, EMA, your PMS, your lab portals — and ships software tuned to how your front desk, MAs, and providers actually move a patient from inquiry to follow-up. Subscription, not a project SOW.
What we build for Dermatology Practices
Automated Mohs and biopsy pre-authorization across PPO and HMO plans
Pulls CPT and ICD-10 codes from the scheduled procedure, submits pre-auth to the right payer portal, and flags missing clinicals before the patient is rooming. Front desk stops chasing auths the morning of surgery.
Photo-first intake that lands in ModMed, Nextech, or EMA before the visit
Patients upload skin-condition photos through a branded intake link; images attach to the chart, a draft SOAP note is pre-populated with HPI and exam findings, and the provider walks in with a head start instead of a blank template.
Biopsy and pathology result tracking with patient recall
Watches inbound lab results, matches them back to the case, and triggers the right next step — benign result SMS, MOHS scheduling for BCC/SCC, or a recall sequence when the patient ghosts the follow-up call.
How a Build Pod fits
A Build Pod is a small, dedicated team — product engineer, AI engineer, and a lead who owns delivery — that plugs into your practice the way a fractional ops hire would, except they ship working software. Week one is shadowing: the front desk, an MA, the billing lead, and one provider. By week two or three you're using the first internal tool in clinic.
From there, the pod works on a rolling roadmap you set. New payer added? They wire it in. Lab portal changed its export format? They fix it before it breaks recall. The work compounds inside your practice instead of walking out the door at the end of a project contract.
Frequently asked questions
- Can you actually integrate with ModMed, Nextech, or EMA, or is this another generic chatbot?
- Yes — integrations are the whole point. We work with the FHIR APIs where they're exposed, and where they aren't (still common in derm-specific EMRs) we use sanctioned export feeds, RPA on the practice-side UI, or direct DB read replicas your vendor already provides. We've done this pattern across medical, dental, and vet clinics.
- How do you handle PHI and HIPAA compliance during the build?
- We sign a BAA before any data moves. Development uses synthetic or de-identified data; production deployments run inside your cloud or a HIPAA-eligible environment we stand up for you. PHI never leaves controlled infrastructure, and LLM calls go through HIPAA-eligible model endpoints only.
- How long before our front desk is using something real?
- Two to three weeks for the first working internal tool — usually the highest-pain workflow you flagged in week one, most often pre-auth or photo intake. We deliberately ship narrow and useful before going wide.
- What happens when a payer or the EMR changes something and our automation breaks?
- It's covered. The Build Pod runs on subscription, not a fixed-scope project, so payer portal changes, EMR version bumps, and new lab integrations are part of the ongoing roadmap rather than a change order.
Ready to ship AI for dermatology practices?
A Build Pod gets working AI into your stack in 2–3 weeks. Month-to-month, cancel any time.
Talk to a Build Pod